Teitl: The simulation of transport processes in cementitious materials with embedded healing systems: data
Dyfyniad
Freeman BL, Jefferson AD (2020). The simulation of transport processes in cementitious materials with embedded healing systems: data. Cardiff University. https://doi.org/10.17035/d.2019.0082101918
Hawliau Mynediad: Gall data fod ar gael yn rhad ac am ddim yn amodol ar briodoli
Dull Mynediad: I anfon cais i gael y data hwn, ebostiwch opendata@caerdydd.ac.uk
Manylion y Set Ddata
Cyhoeddwr: Cardiff University
Dyddiad (y flwyddyn) pryd y daeth y data ar gael i'r cyhoedd: 2020
Fformat y data: .xlsx
Amcangyfrif o gyfanswm maint storio'r set ddata: Llai na 100 megabeit
Nifer y ffeiliau yn y set ddata: 11
DOI : 10.17035/d.2019.0082101918
DOI URL: http://doi.org/10.17035/d.2019.0082101918
Related URL: http://rm4l.com/
Self-healing cementitious materials are designed to mitigate the durability issues often associated with concrete structures. A significant number of these self-healing material systems employ encapsulated healing agents that are transported to the damage site when cracking occurs. This dataset contains the results produced by a new numerical model, applicable to autonomic self-healing systems in which embedded channels or vascular networks are employed to supply the healing agent. The dataset comprises 11 Excel files, which correspond to: i) the curing of cyanoacrylate and its effect on the viscosity, ii) dynamic contact angle of cyanoacrylate in capillary channels, iii) a parametric study on the effect inertia and dynamic contact angle on flow, iv) flow of cyanoacrylate in discrete cracks in concrete, v) calibration of the relative permeability model, vi) sorption of cyanoacrylate through a crack surface into concrete and vii) three-point bending test of concrete speciment with embedded channels filled with cyanoacrylate. Research results based upon these data are published at https://doi.org/10.1002/nag.3017
Disgrifiad
Meysydd Ymchwil
Prosiectau Cysylltiedig
- Resilient materials for life (RM4L) (03.04.2017 - 02.10.2022)